Our client is looking for a talented and experienced NLP Researcher to join their research team in Singapore. As an NLP Researcher, you will play a pivotal role in driving innovation - your expertise in NLP algorithms, models, and techniques will contribute to developing cutting-edge AI solutions with real-world applications in various domains.
- Conduct research and experimentation in NLP, with a focus on language understanding, sentiment analysis, text classification, named entity recognition, information extraction, question answering, and text generation.
- Develop novel algorithms, models, and architectures to address complex NLP challenges, leveraging deep learning, machine learning, and other AI techniques.
- Explore state-of-the-art NLP methodologies, frameworks, and libraries to enhance their NLP capabilities and stay at the forefront of the field.
- Train, fine-tune, and evaluate NLP models using both supervised and unsupervised learning approaches, considering performance, accuracy, and computational efficiency.
- Stay up-to-date with the latest advancements, research papers, and industry trends in NLP, attending conferences and participating in knowledge-sharing activities.
- Publish research findings in top-tier conferences and journals, contributing to the scientific community and establishing thought leadership in NLP.
- Mentor and provide guidance to junior researchers and engineers, fostering a culture of innovation, collaboration, and continuous learning.
- Ph.D. in Computer Science, Artificial Intelligence, or a related field, with a strong focus on NLP.
- Proven track record of research experience in NLP, demonstrated through publications in renowned conferences or journals (e.g., ACL, EMNLP, NAACL, COLING).
- Expertise in developing and implementing NLP algorithms, models, and techniques, such as recurrent neural networks (RNNs), transformers, word embeddings, attention mechanisms, and language models (e.g., BERT, GPT).
- Proficiency in programming languages commonly used in NLP research, such as Python, and experience with popular NLP libraries (e.g., NLTK, SpaCy, TensorFlow, PyTorch).
- Strong understanding of statistical and machine learning techniques applied to NLP, including supervised and unsupervised learning, sequence labeling, and semantic parsing.
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and experience in training and fine-tuning deep learning models for NLP tasks.
- Solid knowledge of core NLP concepts and techniques, including syntactic and semantic parsing, information retrieval, and sentiment analysis.
We thank you for your interest in this position and regret that only shortlisted candidates will be notified.
Argyll Scott Singapore Pte Ltd
EA License No. 16S8105
EA Reg No: R19834
Argyll Scott Asia is acting as an Employment Agency in relation to this vacancy.